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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in building and maintaining data pipelines and transformations, with strong SQL and Python skills. Experienced in data modeling, data warehousing, and implementing business logic to ensure data quality and compliance.
Highest-signal resume keywords
SQLPythonData Pipeline DevelopmentCloud Platform (Azure or AWS)CI/CD
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonData ModelingData WarehousingData Quality PrinciplesCI/CDVersion ControlTesting PracticesData SecurityData Governance
Soft Skills
Problem-SolvingCommunicationCollaborationCuriosityGrowth Mindset
Tools & Technologies
DatabricksData FactoryFabricAirflowDBT
Industry Keywords
Data PipelineAgileOperational SupportContinuous ImprovementEmerging Technologies
Tech Stack
Tools & technologiesAirflowAWSAzureCloudPythonSQL
About the role
Key responsibilities & impact- Build and maintain data pipelines, transformations, and supporting processes
- Implement business logic and data models to meet agreed requirements
- Contribute to code reviews, testing, deployment, and operational support
- Diagnose and resolve data quality and pipeline issues
- Collaborate effectively within agile, cross-functional delivery teams
- Document solutions and contribute to shared engineering standards
- Translate requirements into maintainable technical solutions
- Contribute to continuous improvement of team delivery standards
Requirements
What you’ll need- Strong SQL and Python skills
- Experience working with production data pipelines and modern data tooling
- Good understanding of data modelling, data warehousing, and data quality principles
- Familiarity with at least one cloud platform such as Azure or AWS
- Working knowledge of CI/CD, version control, and testing practices
- Strong problem-solving and communication skills
- Desirable: Experience with Databricks, Data Factory, Fabric, Airflow, DBT, or equivalent
- Desirable: Experience working with structured and semi-structured data sources
- Desirable: Understanding of data security, governance, and compliance requirements
- Curiosity about emerging technologies, particularly within the AI and data landscape
- Growth mindset and passion for continuous learning
Benefits
Comp & perks- Holiday entitlement, 28 days with the option to buy/sell up to 5 days (note that 3 days are held for Christmas holidays)
- Day off (on or in the week of) your birthday
- Pension eligibility, up to 5% matched contributions
- Private healthcare
- Life assurance
- Enhanced maternity and enhanced paternity and shared parental leave
- Cycle to work schemes
- Gym & retail discounts
- Regular social events/activities
- A range of other benefits from our flexible benefits package
- Meaningful work with real impact and space to grow
- Supportive, inclusive, and trusted work environment
- Adjustments available during the recruitment process